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Python Pro

Listed
sickn33·vlatest·backend·MIT

Generates robust Python backend code, handles complex logic, and optimizes performance based on detailed specifications.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill python-pro -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sickn33

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned sickn33/agentic-awesome-skills at c808e6e480.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
c808e6e480
Manifest
skills/python-pro/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The python-pro skill empowers AI agents to execute advanced Python code, handling complex logic beyond basic scripting. It enables agents to perform data analysis, run simulations, and generate executable scripts directly within their environment.

When to use it

  • Data Processing: Analyzing large datasets or performing statistical operations that require specific libraries like Pandas or NumPy.
  • Algorithm Implementation: Testing custom algorithms for sorting, searching, or optimization tasks without manual setup.
  • Script Generation: Creating utility scripts for file manipulation, automation, or system administration tasks.
  • Rapid Prototyping: Quickly building and testing functional code snippets to validate backend logic before full deployment.

Key capabilities

  • Executes multi-line Python scripts with complex control flow.
  • Supports imports of external libraries and packages.
  • Generates output directly from calculated results or printed statements.
  • Handles error logging and exception management within the execution context.

Example prompts

  • "Write a Python function that calculates the Fibonacci sequence up to the 50th number and prints the result."
  • "Create a script to parse a CSV file, filter rows where sales exceed $1000, and export the results to a new JSON file."
  • "Generate code to connect to a local SQLite database, query user records, and display them in a formatted table."

Tips & gotchas

Ensure your AI agent has access to necessary Python libraries installed in its environment before requesting complex operations. For very large computations, consider breaking tasks into smaller steps to avoid timeout limits or memory constraints.